Abstract: The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

Abstract: The present disclosure provides rolling release launching system that is operative to receive and retain a drone or other payload in a protected launcher. The launcher helps to reduce the drag of the payload and to protect the payload from environmental factors. The payload is launched when a rotating door opens to expose the payload in a bay area. The rotating door may be parallel or concentric to a longitudinal axis of the body portion of the device. The payload may be launched using a biasing and fastening mechanism, which may include detachably coupling bracket, to induce an angular moment and releasing force on the payload during launch.

Abstract: A system for automatically maintaining focus while tracking remote flying objects includes an interface and processor. The interface is configured to receive two or more images. The processor is configured to determine a bounding box for an object in the two or more images; determine an estimated position for the object in a future image; and determine an estimated focus setting and an estimated pointing direction for a lens system.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A system for planning an operation includes a communication interface and processor(s). The processor(s) is/are configured to: receive an indication that the drone is part of a set of assets, wherein the set of assets are tasked with performing element(s) of task(s), and the set of assets comprises a plurality of drones; communicate information pertaining to the element(s), wherein: 1) the information pertaining to the element(s) is communicated with at least one other drone; 2) the information pertaining to the element(s) is based at least in part on information obtained by sensor(s) of the set of assets; and 3) the information pertaining to the element(s) is used in connection with determining a plan to perform the task(s); and communicate information pertaining to the plan to perform the task(s), wherein the information pertaining to the plan to perform the task(s) is communicated with at least one other drone.

Abstract: A device includes an inner cylinder and an outer cylinder. The inner cylinder has a radial face including a first set of curved structures. The outer cylinder has an axial face including a second set of curved structures. A coupling is formed in response to a section of the outer cylinder disposed to surround a portion of the inner cylinder and the first set of curved structures of the inner cylinder disposed to interlock with the second set of curved structures of the outer cylinder.

Abstract: A system generating an environment for an operation using a set of assets includes processor(s) configured to: obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises parameter(s) pertaining to a geographic location in which at least one asset is to perform the task(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation to create an annotated representation with the parameter(s) pertaining to the geographic location with a subset of the discrete elements based on a determination that the parameter(s) pertain to the geographic location; determine a plan to perform the task(s), wherein the plan is based on the annotated representation; and cause the task(s) to be performed.

Abstract: The present application discloses an aircraft. The present application discloses a method of assembling or disassembling an aircraft. The assembly method includes mounting a first engine nacelle to a first wing, mounting a second engine nacelle to a second wing, causing the first wing to be extended relative to a fuselage mount, causing the second wing to be extended relative to the fuselage mount, and mounting the fuselage to the fuselage mount.

Abstract: An unmanned helicopter platform includes a fuselage, a tail coupled with the fuselage, a payload rail coupled with and extending along the fuselage and a main rotor assembly coupled with the fuselage. The tail includes a tail rotor and a tail rotor motor. The tail is removably coupled to the fuselage. The main rotor assembly includes a main rotor having an axis of rotation and a main rotor motor.

Abstract: A system comprises an interface and a processor. The interface is configured to provide a request to join a publish group from a client or a point to point communication link of a lattice mesh; and receive a group key or a host public key. The processor is configured to determine whether a message has been received; in response to the message having been received, determine whether the message is to be sent on; in response to the message being determined not to be sent on, decode the message using the group key or the host public key; determine whether to store the message in a backfill database; in response to determining to store the message in the backfill database, store the message in the backfill database.

Abstract: A system generating an environment for an operation using a set of assets includes processor(s) configured to: obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises parameter(s) pertaining to a geographic location in which at least one asset is to perform the task(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation to create an annotated representation with the parameter(s) pertaining to the geographic location with a subset of the discrete elements based on a determination that the parameter(s) pertain to the geographic location; determine a plan to perform the task(s), wherein the plan is based on the annotated representation; and cause the task(s) to be performed.

Abstract: A system for automatically acquiring focus of remote flying objects (RFOs) includes an interface and processor. The interface is configured to receive a radar data and a lens temperature data. The processor is configured to determine a focal setting for a lens system based at least in part on the radar data and the lens temperature data; and provide the focal setting for the lens system.

Abstract: A system for display and interaction includes an interface and a processor. The interface is configured to receive data from one or more sensors. The processor is configured to convert the data to a common synthetic data space; provide the common synthetic data space for display; receive a command associated with an object represented in the common synthetic data space; and cause display of an icon indicating a command has been issued.

Abstract: Implementations described and claimed herein provide an underwater vehicle includes a vehicle body having a frame enclosed by a fairing. The vehicle body extends between a proximal end and a distal end and defining an interior. A nose is disposed at the proximal end of the vehicle body. The nose has a tow system configured to move between a tow position and a stow position. A propulsion system is disposed at the distal end of the vehicle body. The propulsion system includes a plurality of control fins and a thruster. A power distribution system is housed in the interior of the vehicle body. The power distribution system includes a first power system housed in a first pressure vessel and a second power system housed in a second pressure vessel. The first pressure vessel is isolated from the second pressure vessel.

Abstract: A system for drone radar includes an antenna array. The antenna array includes an arc configuration. A set of transmitter antennas and a set of receiver antennas are arranged in an arc along the arc configuration.

Abstract: A computational pixel imaging device can include multiple digitizing counters per pixel that can be used to execute simultaneous signal-processing threads on acquired image data. The imaging device can also include infinite dynamic range sensing and perform signal down-sampling.

Abstract: An unmanned aerial vehicle with deployable components (UAVDC) may comprise a foldable propeller blade with a locking mechanism. Foldable propeller blades may have a stowed configuration and a deployed configuration relative to the UAVDC, and the foldable propeller blades may pivot about a hinge to move between configurations. In the deployed configuration, the foldable propeller may experience forward folding forces acting upon it. The locking mechanism may lock the foldable propeller blade in the deployed configuration. The locking mechanism may keep the foldable propeller locked into place to prevent forward folding tendency.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

Abstract: An unmanned aerial vehicle (UAV) having wings stowed against a fuselage of the UAV in a first arrangement is disclosed. Methods and systems for deploying the wings into a second arrangement are disclosed. For example, after a launch of the UAV, the UAV monitors for at least one pre-set condition. The at least one pre-condition being a pre-condition associated with deploying wings of the UAV into the second arrangement. Upon detecting the at least one pre-set condition, the wings of the UAV are deployed into a second arrangement. Deploying the wings comprises activating, in response to detecting the at least one pre-set condition associated with the UAV, a gearbox configured to transition the wings from the first arrangement to the second arrangement. Roll control may be maintained throughout launch and deployment.